医学
数字减影血管造影
放射科
腹主动脉瘤
导航系统
主动脉瘤
计算机视觉
主动脉夹层
动脉瘤
外科
人工智能
血管造影
计算机科学
主动脉
作者
Shaopeng Guan,Tianqi Li,Meng Cai,Limei Ma
出处
期刊:BMC Surgery
[Springer Nature]
日期:2023-03-09
卷期号:23 (1)
被引量:2
标识
DOI:10.1186/s12893-023-01944-5
摘要
Minimally invasive vascular intervention (MIVI) is a powerful technique for the treatment of cardiovascular diseases, such as abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and aortic dissection (AD). Navigation of traditional MIVI surgery mainly relies only on 2D digital subtraction angiography (DSA) images, which is hard to observe the 3D morphology of blood vessels and position the interventional instruments. The multi-mode information fusion navigation system (MIFNS) proposed in this paper combines preoperative CT images and intraoperative DSA images together to increase the visualization information during operations.The main functions of MIFNS were evaluated by real clinical data and a vascular model. The registration accuracy of preoperative CTA images and intraoperative DSA images were less than 1 mm. The positioning accuracy of surgical instruments was quantitatively assessed using a vascular model and was also less than 1 mm. Real clinical data used to assess the navigation results of MIFNS on AAA, TAA and AD.A comprehensive and effective navigation system was developed to facilitate the operation of surgeon during MIVI. The registration accuracy and positioning accuracy of the proposed navigation system were both less than 1 mm, which met the accuracy requirements of robot assisted MIVI.
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